About this episode
Linh Da joins us to explore how image segmentation can be done using k-means clustering. Image segmentation involves dividing an image into a distinct set of segments. One such approach is to do this purely on color, in which case, k-means clustering is a good option.
Thanks to our Sponsors:
Visit Weights and Biases mention Data Skeptic when you request a demo!
&
Nomad Data
In the image below, you can see the k-means clustering segmentation results for the same image with the values of 2, 4, 6, and 8 for k.
Nomad Data
In the image below, you can see the k-means clustering segmentation results for the same image with the values of 2, 4, 6, and 8 for k.
Get every episode summarized
Each time Data Skeptic publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
